The capability map
Where finance is strong and where it strains, across close, forecasting, controls, partnering, and systems. It’s evidenced by the people who run it and the internal customers who depend on it.
A neutral AI confidentially interviews your finance team and its internal customers about the close, forecasting, controls, business partnering, and systems. You get a segmented view of where the friction is, plus a prioritised plan to fix it.
The close lands and the numbers reconcile, yet the business still treats finance as a reporting function rather than a decision partner. The people closest to the friction, from the analysts running month-end to the managers waiting on a forecast, rarely get asked what’s actually slowing things down.
Where finance is strong and where it strains, across close, forecasting, controls, partnering, and systems. It’s evidenced by the people who run it and the internal customers who depend on it.
The distance between how finance sees its role and how the business actually experiences it. The scorekeeper-versus-partner gap, made concrete.
A sequenced improvement programme across process, capability, and systems, with every recommendation tied to an evidenced issue.
What is the close actually costing the team, and where does it break?
Do people trust the forecast, and if not, why not?
Does the business see finance as a partner or a scorekeeper?
Where do manual workarounds and system gaps quietly drain capacity?
If we fixed three things this year, which would free the most value?
Your team and its internal customers answer anonymously. Responses are aggregated into segments, and any group too small to protect a person is suppressed or merged before you see it. You get the patterns and the preserved dissent, never individuals.
Scope a finance diagnostic in minutes. It’s confidential, self-serve, and grounded in what your people actually experience.